mohammad-khodadad commited on
Commit
2b983d7
·
verified ·
1 Parent(s): 2a35959

Upload dataset

Browse files
README.md CHANGED
@@ -1,4 +1,12 @@
1
  ---
 
 
 
 
 
 
 
 
2
  dataset_info:
3
  features:
4
  - name: text
@@ -7,14 +15,16 @@ dataset_info:
7
  dtype: int64
8
  - name: label_text
9
  dtype: string
 
 
10
  splits:
11
  - name: train
12
- num_bytes: 37095298
13
  num_examples: 34516
14
  - name: test
15
- num_bytes: 9315659
16
  num_examples: 8630
17
- download_size: 27079917
18
  dataset_size: 46410957
19
  configs:
20
  - config_name: default
@@ -23,18 +33,10 @@ configs:
23
  path: data/train-*
24
  - split: test
25
  path: data/test-*
26
- license: cc-by-nc-sa-4.0
27
- task_categories:
28
- - text-classification
29
- language:
30
- - en
31
  tags:
32
  - chemistry
33
  - wikipedia
34
  - chemteb
35
- pretty_name: Wikipedia Diverse Chemistry Specialties Classification
36
- size_categories:
37
- - 10K<n<100K
38
  ---
39
  # Wikipedia Diverse Chemistry Specialties Classification
40
  This dataset is derived from the Wikipedia articles and is designed for multi-class text classification tasks. The dataset covers a wide range of specialties within the field of chemistry, divided into ten distinct classes based on thematic content:
 
1
  ---
2
+ language:
3
+ - en
4
+ license: cc-by-nc-sa-4.0
5
+ size_categories:
6
+ - 10K<n<100K
7
+ task_categories:
8
+ - text-classification
9
+ pretty_name: Wikipedia Diverse Chemistry Specialties Classification
10
  dataset_info:
11
  features:
12
  - name: text
 
15
  dtype: int64
16
  - name: label_text
17
  dtype: string
18
+ - name: __index_level_0__
19
+ dtype: int64
20
  splits:
21
  - name: train
22
+ num_bytes: 37125152
23
  num_examples: 34516
24
  - name: test
25
+ num_bytes: 9285805
26
  num_examples: 8630
27
+ download_size: 27058469
28
  dataset_size: 46410957
29
  configs:
30
  - config_name: default
 
33
  path: data/train-*
34
  - split: test
35
  path: data/test-*
 
 
 
 
 
36
  tags:
37
  - chemistry
38
  - wikipedia
39
  - chemteb
 
 
 
40
  ---
41
  # Wikipedia Diverse Chemistry Specialties Classification
42
  This dataset is derived from the Wikipedia articles and is designed for multi-class text classification tasks. The dataset covers a wide range of specialties within the field of chemistry, divided into ten distinct classes based on thematic content:
data/test-00000-of-00001.parquet CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1210d479b0078bb26e3fac94a3b14fd33e12907f62e06aa3bdf79cdc5bde1af5
3
- size 5371402
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dcca92982dd52788765d89d588ae2a739888a1f09e072697e5bc0e0ef08cdf35
3
+ size 5429867
data/train-00000-of-00001.parquet CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0b2ae06b8e8db0f9a5ad7ce318a1f820afce9dc143779e91c4992a649d9b90f5
3
- size 21430941
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9a8cadeed549e8735488e1419fbd8a0a5a5880f929b7d0a19300af7f4436cca8
3
+ size 21628602